Uncertainty modelling provides a rigorous framework for representing imprecise or indeterminate information in dynamical systems, distinguishing itself from classical probabilistic approaches by ...
Universal differential equations (UDEs) are an emerging approach in biomedical systems biology, integrating physiology-driven mathematical models with machine learning for data-driven model discovery ...
Compartment models have been proposed in the 1920s as a model for the spread of an infectious disease in a society, in a famous article by Kermack and ...
Infectious disease models are a core tool in mathematical epidemiology, designed to describe, through mathematical equations, ...
Reproducing kernel Hilbert space method is utilized in this paper as an efficient approach to solve singular fourth order ...
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